• Asia pacific journal of information systems
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• v.15 no.4
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• pp.153-164
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• 2005

Nowadays, large amounts of XML documents are available in the Internet. Thus, we need to analyze them multidimensionally in the same way as relational data. In this paper, we propose a new framework for multidimensional analysis of XML documents, which we call XML-OLAP. We base XML-OLAP on XML warehouses where all fact and dimension data are stored as XML documents. We build XML cubes from XML warehouses. We propose a new OLAP language for XML cubes, which we call XML-MDX. XML-MDX statements target XML cubes and use XQuery expressions to designate measure, axis and slicer. They incorporate text mining operations for aggregating text data. We apply XML-OLAP to the United States patent XML warehouse to demonstrate multidimensional analysis of XML documents.

• Proceedings of the Korea Association of Information Systems Conference
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• 2005.05a
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• pp.65-78
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• 2005

Nowadays, large amounts of XML documents are available on the Internet. Thus, we need to analyze them multi-dimensionally in the same way as relational data. In this paper, we propose a new frame-work for multidimensional analysis of XML documents, which we call XML-OLAP. We base XML-OLAP on XML warehouses where every fact data as well as dimension data are stored as XML documents. We build XML cubes from XML warehouses. We propose a new multidimensional expression language for XML cubes, which we call XML-MDX. XML-MDX statements target XML cubes and use XQuery expressions to designate the measure data. They specify text mining operators for aggregating text constituting the measure data. We evaluate XML-OLAP by applying it to a U.S. patent XML warehouse. We use XML-MDX queries, which demonstrate that XML-OLAP is effective for multi-dimensionally analyzing the U.S. patents.

• The KIPS Transactions:PartC
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• v.19C no.2
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• pp.91-98
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• 2012

OLAP(On-Line Analytical Processing) is a tool to satisfy the requirements of managing overflowing data analysis. OLAP can provide an interactive analytical processing environment to every end-user. Security policy is necessary to secure sensitive data of organization according to users direct access database. But earlier studies only handled the subject in its functional aspects such as MDX(Multidimensional Expressions) and XMLA(XML for Analysis). This research work is purported for solving such problems by designing and implementing an efficient data access control mechanism for the information security on OLAP. Experimental evaluation result is proposed and its efficiency and accuracy are verified through it.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.11a
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• pp.1211-1214
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• 2011

OLAP(On-Line Analytical Processing) 툴은 조직 운영에서 발생하는 데이터의 양이 많아짐에 따라 분석 수요도 함께 급증하며 전문 분석가의 역량만으로는 처리할 수 없는 분석 요구 사항을 충족시키기 위한 툴이다. OLAP 에서는 다양한 사용자가 직접 데이터베이스에 접근하여 대화식으로 질의를 던지고 응답을 받아 분석 업무를 진행할 수 있다. 이렇게 많은 사용자들이 데이터베이스에 직접 접근을 하게 됨에 따라 조직의 민감한 데이터를 지키기 위한 보안 정책이 필수가 되었다. 하지만 기존 연구에서는 OLAP 의 기능적인 분석에 치중하여 MDX(Multidimensional Expressions)와 XMLA(XML for Analysis) 등의 기법으로 기능을 구현하는 것에 그치고 있다. 이에 본 연구에서는 OLAP 보안 관련 연구를 분석하고 보안 모듈을 설계하여 효율적인 정보 보호를 위한 데이터 접근 제어 방법을 제시한다.